diff --git a/mindspore/lite/src/train/train_session.cc b/mindspore/lite/src/train/train_session.cc
index 86c78b054c9..6ff89a0a383 100644
--- a/mindspore/lite/src/train/train_session.cc
+++ b/mindspore/lite/src/train/train_session.cc
@@ -228,9 +228,13 @@ int TrainSession::UpdateWeights(std::vector<lite::Tensor *> modify_tensors) {
         return RET_PARAM_INVALID;
       }
       if (modify->tensor_name() == tensor->tensor_name()) {
+        if (tensor->Size() != modify->Size()) {
+          model_buff_changed_ = true;
+        }
         auto ret = ReshapeWeightTensor(tensor, modify);
         num_of_found_tensors++;
         if (ret != RET_OK) {
+          model_buff_changed_ = false;
           return ret;
         }
         break;
@@ -244,6 +248,7 @@ int TrainSession::UpdateWeights(std::vector<lite::Tensor *> modify_tensors) {
   auto ret = ReSizeKernels(kernels_);
   if (ret != RET_OK) {
     MS_LOG(ERROR) << "Resize kernels fail!";
+    model_buff_changed_ = false;
     return ret;
   }
 
@@ -1183,7 +1188,7 @@ int TrainSession::ExportInner(DestType destination, ModelType model_type, Quanti
     TRAIN_SESSION_CHECK_FALSE_MSG(status != RET_OK, status, "FindExportKernels failed.");
     status = texport.ExportNet(export_kernels, tensors_, out_put_tensor_name, model_.get(), quant_type);
   } else {
-    if ((quant_type == QT_NONE) && (model_type == MT_TRAIN) &&
+    if ((!model_buff_changed_) && (quant_type == QT_NONE) && (model_type == MT_TRAIN) &&
         std::all_of(model_->graph_.all_nodes_.begin(), model_->graph_.all_nodes_.end(), [](const LiteGraph::Node *n) {
           return n->quant_type_ == schema::QuantType::QuantType_QUANT_NONE;
         })) {
diff --git a/mindspore/lite/src/train/train_session.h b/mindspore/lite/src/train/train_session.h
index 628db537b19..130296a5e57 100644
--- a/mindspore/lite/src/train/train_session.h
+++ b/mindspore/lite/src/train/train_session.h
@@ -177,6 +177,7 @@ class TrainSession : virtual public lite::LiteSession {
   void *workspace_ = nullptr;
   SchedCallBack sched_mix_precision_callback_;
   bool train_mode_ = false;
+  bool model_buff_changed_ = false;
   void *tensors_data_ = nullptr;
   size_t tensors_data_size_ = 0;
   std::shared_ptr<Allocator> allocator_;